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Huimin Dong's PhD defence and co-located workshop

Huimin Dong is going to defend her PhD thesis "Permission in Non-Monotonic Normative Reasoning" in Bayreuth on July 17th, 2017. On that occasion the PIOTR project will be hosting a small workshop to discuss current work of the project members and associates. 

Tuesday, July 18th: room S96, Audimax building

  • 9:30-10:15 Alessadra Marra (Tilburg): Obligations, Intentions and Planning

  • 10:30-11:15 Frederik Van De Putte (Ghent): Permitted Choices in General Game Models

  • 11:30-12:15 Piotr Kulicki (Lublin) and Marek Piechowiak (Poznan): A Logical Account of Subjective Rights

  • 12:15-13:15: Lunch Break

  • 13:15-14:00: Piotr Kulicki (Lublin): Unconditional and conditional norms in nC+

  • 14:15-15:00: Albert Anglberger (Bayreuth): Truthmaker Semantics for Conflict Tolerant Deontic Logics


Alessadra Marra (Tilburg): Obligations, Intentions and Planning

The talk investigates the way norms about what an agent ought to do relate to the agent's intentions and plans. In the first part of the talk, I focus on the role of norms in the formation of an agents’ intentions (especially the so-called “prior intentions”) and on the effects on the agent’s planning. I present a formal model which combines (a simplified version of) Stit logics and Veltman's To-Do Lists semantics. Basic elements of the model are a tree-like structure which represents the agent's planned actions and, attached to every node of the tree, To-Do Lists representing the agent's intentions. The model is dynamic: a norm triggers a change to the effect that the norm is incorporated in the agent's To-Do List, and the tree is restricted to that subtree which allow the agent to eventually bring about what the norm requires. In the second part of the talk, I draw some connections between such dynamic model and relevant works in practical philosophy (as Bratman 1987, Broome 2013, Gibbard 2011 and Horty 2015). The talk is based on a joint work with Dominik Klein.

Frederik Van De Putte (Ghent): Permitted Choices in General Game Models
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